Werebuilddeliveryoperationsasreal-timedispatchsystems.
Replace manual driver coordination, routing decisions, and tracking workflows with AI-driven systems that dispatch, monitor, and optimise deliveries in real time.
Built for delivery networks that have outgrown spreadsheets, WhatsApp coordination, and static routing.
Yourdispatchsystemisbreakingunderscale.
Every delivery network we audit shows the same pattern: the operation grew, the dispatch desk didn't. The failure mode is structural, not personal.
Manual dispatch chaos
→ Dispatchers assign orders by eye — from a queue that keeps growing. Every match is slower than the last.
Poor route optimisation
→ Drivers follow static routes or their own instinct. Fuel burns, SLAs slip, and nobody sees the pattern.
No real-time visibility
→ Ops is blind between scans. Delays surface by customer complaint, not by signal.
Driver coordination issues
→ Assignments, swaps, and exceptions live in WhatsApp threads and phone calls. Nothing is queryable.
SLA violations
→ Late deliveries land without warning. No early signal, no proactive alert, no recovery window.
Scaling bottleneck
→ Every new zone or fleet size needs another dispatcher. Growth is paid for by headcount.
This isn't a driver problem — it's a system problem.
Run a diagnostic →Frommanualdispatchtoautonomousdeliverysystems.
Same drivers. Same zones. Same SLAs. A completely different control layer between them.
Humans holding
the radio together.
- 01✕Dispatcher assigns orders manually
- 02✕Static route planning
- 03✕No real-time updates
- 04✕Reactive problem handling
- 05✕Heavy human coordination
One control plane. Zero dispatch desks.
- 01→AI-driven dispatch engine
- 02→Dynamic route optimisation
- 03→Live delivery tracking
- 04→Automated exception handling
- 05→Minimal human intervention
Howyourdispatchsystemoperates.
A production reference architecture tailored to your zones, driver fleet, and SLAs. Every layer is live, inspectable, and audit-logged.
Trigger
A new delivery request enters the system via API, webhook, or marketplace event. Normalised to one canonical job.
Dispatch Engine
AI scores every available driver on location, capacity, route efficiency, and SLA priority — and assigns the best one.
Route Optimisation
Route recomputed in real time as jobs batch, traffic shifts, and drivers move. Multi-stop sequences stay tight.
Execution Layer
Driver gets a push with the job + navigation deeplink. Status updates captured at pickup, en-route, and delivery.
Tracking & Monitoring
Live location stream per driver, normalised to milestones. Delay detection fires before SLA is at risk.
Customer Communication
Customer gets a live link, ETA, and delay notifications in their channel of choice — without any agent touching it.
Observability
Dispatch dashboard, SLA monitoring, driver performance, zone heat. Every decision logged and auditable.
Workflowsweengineerfordeliveryoperations.
These aren't demos. Each is a production pattern we've shipped, instrumented, and handed to dispatch and driver ops teams.
Order → auto dispatch → driver → delivery
The core loop. Zero human touches from order to POD, including multi-stop sequences.
Real-time route optimisation
Routes recompute on every new job, traffic event, or driver shift. Batch density stays high, distance stays short.
Driver performance tracking
Every driver has a live scorecard: on-time %, acceptance, idle time, exceptions. Feeds dispatch priority live.
SLA breach detection + escalation
At-risk jobs flagged before breach. Automatic reassignment, customer pre-warning, or ops escalation as required.
Failed delivery handling
Missed, refused, or address-fail jobs are triaged, retried, or returned — with full reason codes and proof.
Multi-zone dispatch coordination
Zones balance load across each other automatically. Hand-offs happen as signals, not as phone calls.
Operationalimpact.
Aggregate figures across delivery engagements, measured against each network's pre-Forgequbit baseline.
/ testimony · coo · regional delivery network“We removed manual dispatch entirely. Orders are now assigned, routed, and tracked automatically in real time.”
Systems,nottools.
Six layers, one control plane. Every module speaks to every other over one event bus — no polling, no nightly syncs, no CSVs.
Observability
Live maps · SLA dashboards · alerts
Interface
Dashboards · notifications · mobile interfaces
Data
Real-time location data · Postgres
Execution
Driver apps · dispatch APIs
Decision
AI routing engine · optimisation models
Trigger
Order APIs · event streams
Audit your dispatch system.
We map your delivery pipeline, identify inefficiencies, and show how to rebuild it as a real-time system.
30 min · no pitch · real system insight.
- 01Map your delivery pipeline, end-to-end.
- 02Identify the three highest-leverage bottlenecks.
- 03Show what's automatable — and what shouldn't be.
- 04Leave you with a blueprint. Yours to keep, hire or not.